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anscombiser  

Create Datasets with Identical Summary Statistics
View on CRAN: Click here


Download and install anscombiser package within the R console
Install from CRAN:
install.packages("anscombiser")

Install from Github:
library("remotes")
install_github("cran/anscombiser")

Install by package version:
library("remotes")
install_version("anscombiser", "1.1.0")



Attach the package and use:
library("anscombiser")
Maintained by
Paul J. Northrop
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-12
Latest Update: 2022-10-02
Description:
Anscombe's quartet are a set of four two-variable datasets that have several common summary statistics but which have very different joint distributions. This becomes apparent when the data are plotted, which illustrates the importance of using graphical displays in Statistics. This package enables the creation of datasets that have identical marginal sample means and sample variances, sample correlation, least squares regression coefficients and coefficient of determination. The user supplies an initial dataset, which is shifted, scaled and rotated in order to achieve target summary statistics. The general shape of the initial dataset is retained. The target statistics can be supplied directly or calculated based on a user-supplied dataset. The 'datasauRus' package provides further examples of datasets that have markedly different scatter plots but share many sample summary statistics.
How to cite:
Paul J. Northrop (2020). anscombiser: Create Datasets with Identical Summary Statistics. R package version 1.1.0, https://cran.r-project.org/web/packages/anscombiser. Accessed 18 Feb. 2025.
Previous versions and publish date:
1.0.0 (2020-10-12 01:40)
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